https://nova.newcastle.edu.au/vital/access/ /manager/Index en-au 5 https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:41396 Wed 03 Aug 2022 08:57:33 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:47977 Tue 14 Feb 2023 10:25:07 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:54298 Thu 15 Feb 2024 14:52:31 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:37423 60) that guide design and evaluation of implementation and scale-up processes. Therefore, we sought to recommend conceptual frameworks that can be used to design, inform, and evaluate implementation of physical activity (PA) and nutrition interventions at different stages of the program life cycle. We also sought to recommend a minimum data set of implementation outcome and determinant variables (indicators) as well as measures and tools deemed most relevant for PA and nutrition researchers. Methods: We adopted a five-round modified Delphi methodology. For rounds 1, 2, and 3 we administered online surveys to PA and nutrition implementation scientists to generate a rank order list of most commonly used; i) implementation and scale-up frameworks, ii) implementation indicators, and iii) implementation and scale-up measures and tools. Measures and tools were excluded after round 2 as input from participants was very limited. For rounds 4 and 5, we conducted two in-person meetings with an expert group to create a shortlist of implementation and scale-up frameworks, identify a minimum data set of indicators and to discuss application and relevance of frameworks and indicators to the field of PA and nutrition. Results: The two most commonly referenced implementation frameworks were the Framework for Effective Implementation and the Consolidated Framework for Implementation Research. We provide the 25 most highly ranked implementation indicators reported by those who participated in rounds 1–3 of the survey. From these, the expert group created a recommended minimum data set of implementation determinants (n = 10) and implementation outcomes (n = 5) and reconciled differences in commonly used terms and definitions. Conclusions: Researchers are confronted with myriad options when conducting implementation and scale-up evaluations. Thus, we identified and prioritized a list of frameworks and a minimum data set of indicators that have potential to improve the quality and consistency of evaluating implementation and scale-up of PA and nutrition interventions. Advancing our science is predicated upon increased efforts to develop a common ‘language’ and adaptable measures and tools.]]> Thu 12 Nov 2020 18:13:51 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:52236 Thu 05 Oct 2023 11:39:46 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:19677 Sat 24 Mar 2018 07:53:52 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:22646 Sat 24 Mar 2018 07:16:39 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:42348 Mon 22 Aug 2022 13:54:50 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:50966 Mon 14 Aug 2023 15:20:02 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:48249 Mon 08 May 2023 09:39:12 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:53846 Fri 19 Jan 2024 10:18:45 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:36393 Fri 11 Aug 2023 16:47:31 AEST ]]>